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Extending AuToBI to prominence detection in European Portuguese

dc.contributor.authorMoniz, Helena
dc.contributor.authorMata, Ana Isabel
dc.contributor.authorHirschberg, Julia
dc.contributor.authorBatista, Fernando
dc.contributor.authorRosenberg, Andrew
dc.contributor.authorTrancoso, Isabel
dc.date.accessioned2018-01-28T15:26:11Z
dc.date.available2018-01-28T15:26:11Z
dc.date.issued2014
dc.description.abstractThis paper describes our exploratory work in applying the Automatic ToBI annotation system (AuToBI), originally developed for Standard American English, to European Portuguese. This work is motivated by the current availability of large amounts of (highly spontaneous) transcribed data and the need to further enrich those transcripts with prosodic information. Manual prosodic annotation, however, is almost impractical for extensive data sets. For that reason, automatic systems such as AuToBi stand as an alternate solution. We have started by applying the AuToBI prosodic event detection system using the existing English models to the prediction of prominent prosodic events (accents) in European Portuguese. This approach achieved an overall accuracy of 74% for prominence detection, similar to state-of-the-art results for other languages. Later, we have trained new models using prepared and spontaneous Portuguese data, achieving a considerable improvement of about 6% accuracy (absolute) over the existing English models. The achieved results are quite encouraging and provide a starting point for automatically predicting prominent events in European Portuguese.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMoniz, H., Mata, A. I., Hirschberg, J. & Batista, F., Rosenberg, A. & Trancoso, I. (2014) Extending AuToBI to Prominence Detection in European Portuguese, in Speech Prosody.pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/31086
dc.language.isoengpt_PT
dc.publisherUrbana, ILpt_PT
dc.relationCOPAS - Contrast and Parallelism in Speech
dc.relationSpoken Dialogue Analytics
dc.subjectProsodypt_PT
dc.subjectAutomatic prosodic labeling systempt_PT
dc.subjectSpontaneous speechpt_PT
dc.titleExtending AuToBI to prominence detection in European Portuguesept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCOPAS - Contrast and Parallelism in Speech
oaire.awardTitleSpoken Dialogue Analytics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCLE-LIN%2F120017%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PEst-OE%2FEEI%2FLA0021%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/611396/EU
oaire.citation.conferencePlaceDublinpt_PT
oaire.citation.titleSpeech Prosodypt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication671e4dae-ef45-4332-971e-7e8510eb66c9
relation.isProjectOfPublication2a861541-eb85-4d9d-ad76-e9a0467054c4
relation.isProjectOfPublicationee518a2d-9f77-4b4c-a0af-46934dedeffb
relation.isProjectOfPublication.latestForDiscovery671e4dae-ef45-4332-971e-7e8510eb66c9

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